Which of the following technique is unsupervised learning?
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Which of the following technique is unsupervised learning?
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Answer: A. A) PCA
Principal Component Analysis (PCA) is an unsupervised dimensionality reduction technique that does not require labeled target data.
Step-by-step Derivation:
Step 1: Supervised learning algorithms rely on input-output label pairs (e.g., Random Forests, Linear Regression).
Step 2: PCA identifies principal directions of maximal variance in the feature space without any labels.
Step 3: Hence, PCA is an unsupervised learning method.